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pro vyhledávání: '"Panahbehagh, Bardia"'
Autor:
Panahbehagh, Bardia
A new, geometric and easy to understand approach to finite population sampling is presented. In this approach, first-order inclusion probabilities (FIPs) are represented by bars in a two-dimensional coordinate system, and their different arrangements
Externí odkaz:
http://arxiv.org/abs/2308.07715
Publikováno v:
(2022), Environmetrics, Volume 33, Issue 8
Sequential sampling occurs when the entire population is not known in advance and data are obtained one at a time or in groups of units. This manuscript proposes a new algorithm to sequentially select a balanced sample. The algorithm respects equal a
Externí odkaz:
http://arxiv.org/abs/2112.01164
The manuscript introduces a method to select a random sample from a stream by deciding on each sampling unit immediately after observing it. The process could be applied to unequal as well as equal probability sampling. The implementation is straight
Externí odkaz:
http://arxiv.org/abs/2111.09309
A new unequal probability sampling method is proposed. This method is sequential. The decision to select or not each unit is made based on the order in which the units appear. A variant of this method allows selecting a sample from a stream. At each
Externí odkaz:
http://arxiv.org/abs/2111.08433
This paper is going to introduce a new method for ranked set sampling with multiple criteria. The method is based on a version of ranked set sampling, introduced by Panahbehagh et al. (2017), which relaxes the restriction of selecting just one indivi
Externí odkaz:
http://arxiv.org/abs/1906.11020
In this article we describe an application of Machine Learning (ML) and Linguistic Modeling to generate persian poems. In fact we teach machine by reading and learning persian poems to generate fake poems in the same style of the original poems. As t
Externí odkaz:
http://arxiv.org/abs/1810.06898
In many surveys inexpensive auxiliary variables are available that can help us to make more precise estimation about the main variable. Using auxiliary variable has been extended by regression estimators for rare and cluster populations. In conventio
Externí odkaz:
http://arxiv.org/abs/1803.04484
Publikováno v:
Computational Statistics; Sep2024, Vol. 39 Issue 6, p2899-2924, 26p
Akademický článek
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Autor:
Panahbehagh, Bardia
Publikováno v:
Journal of Agricultural, Biological, and Environmental Statistics, 2020 Jun 01. 25(2), 206-228.
Externí odkaz:
https://www.jstor.org/stable/48736713